Honggang Wang, PhD
Associate Professor
Electrical & Computer Engineering
Contact
508-999-8469
508-999-8489
cr\ib,;ph\nn_)`_p
Science & Engineering 209B
Education
| 2009 | University of Nebraska - Lincoln | PhD in Computer Engineering |
| 2001 | Southwest Jiaotong University, China | MS in Computer Science and Engineering |
| 1996 | Southwest Jiaotong University, China | BE in Electrical Engineering |
Teaching
- Computer architecture
- Multimedia communications
- Wireless networks and mobile security
- Wireless Sensor Networks
- Computer Systems
Teaching
Programs
Teaching
Courses
Topics of timely interest in electrical and computer engineering. Course content may change from year to year according to instructor's preferences.
Topics of timely interest in electrical and computer engineering. Course content may change from year to year according to instructor's preferences.
Topics of timely interest in electrical and computer engineering. Course content may change from year to year according to instructor's preferences.
Topics of timely interest in electrical and computer engineering. Course content may change from year to year according to instructor's preferences.
Topics of timely interest in electrical and computer engineering. Course content may change from year to year according to instructor's preferences.
Advanced computer design, emphasizing fundamental limitations and tradeoffs in designing high performance computer systems. Students develop an understanding of the theoretical foundations in both hardware and software by studying parallel computer models; program partitioning, granularity, and latency; processor architectures and interconnects; and memory hierarchy, interleaving and bandwidth. Specific architectures such as shared memory multi-processors, message passing multi-computers, and superscalar, supervector, VLIW and dataflow designs will be explored.
Advanced computer design, emphasizing fundamental limitations and tradeoffs in designing high performance computer systems. Students develop an understanding of the theoretical foundations in both hardware and software by studying parallel computer models; program partitioning, granularity, and latency; processor architectures and interconnects; and memory hierarchy, interleaving and bandwidth. Specific architectures such as shared memory multi-processors, message passing multi-computers, and superscalar, supervector, VLIW and dataflow designs will be explored.
Theory, programming and operation of wireless sensors and wireless sensor networks. This course covers the theory, design, implementations and limitations of state-of-the-art wireless sensors and wireless sensor networks. Additionally, students will develop specific hands-on skills in programming and using wireless sensor motes, associated middleware and a modern mote development environment.
Advanced study of wireless and mobile network architectures, technologies, protocols and mobile security design at graduate level. It covers impediments of the mobile and wireless environments, problems and limitations due to such impediments, various network layers solutions, location management techniques, mobile IP, wireless TCP, wireless LANs, 802.16/WIMAX, Wireless Mesh Networks, ad-hoc networks, routing and power optimization, performance and mobile security issues.
Advanced study of wireless and mobile network architectures, technologies, protocols and mobile security design at graduate level. It covers impediments of the mobile and wireless environments, problems and limitations due to such impediments, various network layers solutions, location management techniques, mobile IP, wireless TCP, wireless LANs, 802.16/WIMAX, Wireless Mesh Networks, ad-hoc networks, routing and power optimization, performance and mobile security issues.
Research
Research Activities
- NSF: Developing A Physical-Channel Based Lightweight Authentication System for Wireless Body Area Networks
- NSF: Collaborative Research: Design of a wearable biosensor system with wireless network for the remote detection of life threatening events in neonates
- NSF: A Cross-layer End-to-End Performance Modeling Approach for Large-Scale Random Wireless Networks with Node Cooperative Behavior
- NSF: Acquisition of COMET, A Cognitive RadiO Multimedia NEtwork Testbed for Multimedia Communication Research and Education
- DOT: Data Collection via CRS&SI Technology to Determine when to Impose SLR. Funded by U.S. Federal Department of Transportation
Research
Research Interests
- Internet of Things and Connected Health
- Body Area Networks (BAN) and Wireless Multimedia
- Multimedia Processing and Communications, Cyber and Multimedia Security, Mobile Multimedia and Cloud, Edge Computing
- Wireless Networks and Cyber-physical System
- Big Data in mHealth, Data Engineering and Machine Learning
Select publications
M. S. Mahmud*,H. Wang, E. E. Alam, and H. Fang (2017).
A wireless health monitoring system using mobile phone accessories
IEEE Internet of Things Journal, 4, 2009–2018.
Z. Li*, H. Wang, and H. Fang (2017).
Group-based cooperation on symmetric key generation for wireless body area networks
IEEE Internet of Things Journal, 4, 1955–1963.
Jingfang Huang, Honggang Wang, Yi Qian (2017).
Game User-Oriented Multimedia Transmission Over Cognitive Radio Networks
IEEE Trans. Circuits Syst. Video Technology., 27, 198-208.
Honggang Wang is the "Scholar of The Year" (2016, only one per year at UMass Dartmouth). He received his Ph.D. in Computer Engineering at University of Nebraska-Lincoln in 2009. His research interests include Internet of Things, Wireless Health, Body Area Networks (BAN), Cyber and Multimedia Security, Mobile Multimedia and Cloud, Wireless Networks and Cyber-physical System, and BIG DATA in mHealth. He has published more than 150 papers in his research areas. He was an invited participant by National Academic Engineering (NAE) for 2017 German-American Frontiers of Engineering Symposium, as one of about 50 outstanding engineers (ages 30-45) from US companies, universities, and government labs. He has served as the general chair/co-chair and TPC chair/co-chairs for several IEEE/ACM conferences. He also serves as the steering committee co-chair of IEEE CHASE and TPC co-chair of of IEEE CHASE 2016, which is a leading international conference in the field of connected health. He served as the TPC member for IEEE INFOCOM 2013-2015, IEEE ICDCS 2015, IEEE ICDM 2018, ACM Multimedia 2017 and area chair for IEEE ICME 2016 and 2017. He has also been serving as the Associate Editor in Chief (EiC) for IEEE Internet of Things journal (SCI impact factor: 9.5), associate editors for IEEE Transactions on Big Data, IEEE Transactions on Multimedia, an Editor of IEEE Transactions on Vehicular Technology, Associate Editor of IEEE network Magazine. He currently serves as the Vice chair of IEEE eHealth Technical Committee and the Chair of IEEE Comsoc Multimedia Communications Technical committee (IEEE MMTC). He received IEEE Multimedia Communications Technical Committee (MMTC) Outstanding Leadership Award (2015) and IEEE HEALTHCOM 2015 Outstanding Service Award. His research is supported by NSF, DoT, NIH, UMass President office, and UMass Healey Grant. He is an IEEE distinguished lecturer.